Refining risk estimates for lead in drinking water based on the impact of genetics and diet on blood lead levels using the Collaborative Cross mouse population.
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| Title: | Refining risk estimates for lead in drinking water based on the impact of genetics and diet on blood lead levels using the Collaborative Cross mouse population. |
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| Authors: | Cuomo D; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA., Nitcher M; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA., Barba E; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA., Feinberg AP; Center for Epigenetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.; Center for Epigenetics, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.; Center for Epigenetics, Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA., Rusyn I; Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas, USA., Chiu WA; Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas, USA., Threadgill DW; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.; Department of Nutrition, Texas A&M University, College Station, Texas, USA. |
| Source: | Toxicological sciences : an official journal of the Society of Toxicology [Toxicol Sci] 2023 Jul 28; Vol. 194 (2), pp. 226-234. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 9805461 Publication Model: Print Cited Medium: Internet ISSN: 1096-0929 (Electronic) Linking ISSN: 10960929 NLM ISO Abbreviation: Toxicol Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37243727 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Refining risk estimates for lead in drinking water based on the impact of genetics and diet on blood lead levels using the Collaborative Cross mouse population. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cuomo+D%22">Cuomo D</searchLink>; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Nitcher+M%22">Nitcher M</searchLink>; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Barba+E%22">Barba E</searchLink>; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Feinberg+AP%22">Feinberg AP</searchLink>; Center for Epigenetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.; Center for Epigenetics, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.; Center for Epigenetics, Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Rusyn+I%22">Rusyn I</searchLink>; Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Chiu+WA%22">Chiu WA</searchLink>; Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Threadgill+DW%22">Threadgill DW</searchLink>; Department of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.; Department of Nutrition, Texas A&M University, College Station, Texas, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229805461%22">Toxicological sciences : an official journal of the Society of Toxicology</searchLink> [Toxicol Sci] 2023 Jul 28; Vol. 194 (2), pp. 226-234. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9805461 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1096-0929 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210960929%22">10960929 </searchLink><i>NLM ISO Abbreviation: </i>Toxicol Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37243727 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/toxsci/kfad054 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 226 Titles: – TitleFull: Refining risk estimates for lead in drinking water based on the impact of genetics and diet on blood lead levels using the Collaborative Cross mouse population. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cuomo D – PersonEntity: Name: NameFull: Nitcher M – PersonEntity: Name: NameFull: Barba E – PersonEntity: Name: NameFull: Feinberg AP – PersonEntity: Name: NameFull: Rusyn I – PersonEntity: Name: NameFull: Chiu WA – PersonEntity: Name: NameFull: Threadgill DW IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 07 Text: 2023 Jul 28 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1096-0929 Numbering: – Type: volume Value: 194 – Type: issue Value: 2 Titles: – TitleFull: Toxicological sciences : an official journal of the Society of Toxicology Type: main |
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